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Getting Started with Natural Language Processing (NLP)

by Dhiren Gala Updated: Jun 9, 2022

NLP helps build systems that can automatically analyze, process, summarize and extract meaning from natural language text. In a nutshell, NLP helps machines mimic human behaviour and allows us to build applications that can reason about different types of documents. NLP open-source libraries are tools that allow you to build your own NLP applications. These libraries can be used to develop many different types of applications, like Speech Recognition, chatbots, Sentimental Analysis, Email Spam Filtering, Language Translator, search engines, and question answering systems. NLTK is one of the most popular NLP libraries in Python. It provides easy-to-use interfaces to corpora and lexical resources such as WordNet, along with statistical models for common tasks such as part-of-speech tagging and noun phrase extraction. Following list has libraries for most basic Sentimental Analysis VADER (Valence Aware Dictionary and sEntiment Reasoner) Tool, collection of NLP resources – blogs, books, tutorials, and more. Check out the list of free, open source libraries to help you with your projects:

Some Popular Open Source Libraries to get you started

Utilize the below libraries to tokenize, implement part-of-speech tagging, stemming, sentiment analysis, topic segmentation, and named entity recognition.

nltkby nltk

Python star image 10427 Version:Current

License: Permissive (Apache-2.0)

NLTK Source

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nltkby nltk

Python star image 10427 Version:Current License: Permissive (Apache-2.0)

NLTK Source
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transformersby huggingface

Python star image 61400 Version:v4.18.0

License: Permissive (Apache-2.0)

πŸ€— Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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transformersby huggingface

Python star image 61400 Version:v4.18.0 License: Permissive (Apache-2.0)

πŸ€— Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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spaCyby explosion

Python star image 23063 Version:v3.1.6

License: Permissive (MIT)

πŸ’« Industrial-strength Natural Language Processing (NLP) in Python

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spaCyby explosion

Python star image 23063 Version:v3.1.6 License: Permissive (MIT)

πŸ’« Industrial-strength Natural Language Processing (NLP) in Python
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CoreNLPby stanfordnlp

Java star image 8424 Version:v4.4.0

License: Others (Non-SPDX)

Stanford CoreNLP: A Java suite of core NLP tools.

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CoreNLPby stanfordnlp

Java star image 8424 Version:v4.4.0 License: Others (Non-SPDX)

Stanford CoreNLP: A Java suite of core NLP tools.
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TextBlobby sloria

Python star image 7825 Version:0.7.0

License: Permissive (MIT)

Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

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TextBlobby sloria

Python star image 7825 Version:0.7.0 License: Permissive (MIT)

Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
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Sentimental Analysis Repository

vaderSentimentby cjhutto

Python star image 3122 Version:0.5

License: Permissive (MIT)

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

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vaderSentimentby cjhutto

Python star image 3122 Version:0.5 License: Permissive (MIT)

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
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